Semantic enrichmentNatural Language Processing (NLP)Knowledge graphsWord embeddingsMedical codingArtificial Intelligence technologies are every day more present in the medical domain. Several healthcare activities that were entirely done manually by experts in the past, now are reaching a high......
While you would require a technology partner to unleash their possibilities, this is a great approach for those who need something more than the market provides and don’t intend to deploy a full-blown AI operation. Build custom NLP healthcare tool This route is for the organizations with ...
“I want to first congratulate you on the great work done on the Medical Platforms project. Thank you so much for all your efforts.” - One of the largest cosmetics company in the world. “Thank you very much. I really appreciate the work your team has done. I feel very comfortable r...
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While most recent work has focused on abstracts, the BioNLP 2011 shared task evaluated the submitted systems on both abstracts and full papers. In this article, we describe our submission to the shared task which decomposes event extraction into a set of classification tasks that can be learned...
These aren’t very helpful by themselves. They indicate a vague idea of what the sentence is about, but full understanding requires the successful combination of all three components. This analysis can be accomplished in a number of ways, through machine learning models or by inputting rules for...
14、Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye (Tencent) · Guibin Chen (Tencent) · Wen Zhang (Tencent) · chen sheng (qq) · Bo Yuan (Tencent) · Bo Liu (Tencent) · Jia Chen (Tencent) · Hongsheng Yu (Tencent) · Zhao Liu (Tencent) · Fuhao Qiu...
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